The lack of access to a PCP or a psychiatrist is only one of the many barriers that obstruct the provision of high-quality mental healthcare. Inadequate compensation for community-based practitioners, lack of collaboration between practitioners and between healthcare systems (e.g. lack of continuity of care between community-based clinicians and those in hospitals), inadequate continuing medical education/ habit-based prescribing and inadequate access to specialist guidance are also critical barriers.
Importantly, but not often acknowledged, is the presence of stigma amongst healthcare professionals, including within psychiatry (see my post about stigma for more on this topic). Practitioner stigma regarding mental illness has a powerful impact on patients and their families and can include negative attitudes and behaviours, lack of knowledge, skills and awareness, and therapeutic pessimism.
Without strong medical leadership and ongoing high-quality medical education, such stigma too often pervades the culture of healthcare settings, including hospital emergency and psychiatric units. Clinician burnout is associated with heightened cynicism and a loss of compassion, so the pandemic’s toll on practitioner’s mental health has undoubtedly worsened the burden of stigma for patients.
Unlike most areas of medicine, psychiatry lacks biological markers (laboratory and imaging tests) that reliably support a diagnosis and help determine the best treatment approach. Without objective biological tests, making an accurate diagnosis and finding an effective, tolerable treatment is inexact and more complex and time-consuming.
There is a care gap between the clinical goals outlined in evidence-based guidelines for the management and treatment of mental illness and actual clinical practice. Robust clinical decision support systems would provide healthcare practitioners with best-practice information at the point of care (when they’re seeing their patient), but these tools are profoundly lacking. This is where we have the greatest opportunity to support PCPs, which in turn will help improve the health, functioning and quality of life of patients living with a mental illness.
All areas of medicine, including psychiatry, have demonstrated the value of algorithm-based care, which is more accurately defined as evidence-based guidance for clinical decision making. Findings from the German Algorithm Project (GAP) demonstrated that employing a highly structured decision-support program for the treatment of depression was associated with the need for fewer medications and a shorter time to symptom remission, compared with treatment-as-usual. Such approaches have been shown to improve patient’s overall well-being (symptoms and functioning) and have demonstrated cost-effectiveness.
Clinical decision-support programs must be expert-validated, easy to use, educational, provide options to clinicians and their patients and fit into a clinician’s workflow. Additionally, the guidance must be personalized for each patient, because every brain has unique needs. By employing the latest scientific research and expert guidelines and delivering this information to a busy clinician, immediately and seamlessly, using innovative, secure technology, everyone wins.
Clinical decision support programs do not replace a healthcare professional – they marry the art and science of medicine, by offering expert guidance that helps a PCP to rapidly provide better, more personalized care. Getting the diagnosis right and providing the most effective treatment to each patient should also help clinicians to have more time, energy, confidence and hope. These attributes support compassionate care, which should be at the heart of every interaction we have with our patients.