*Copyright permission pending - if interested in this measure, please contact us to discuss possible additional charges associated with this particular instrument
Additionally, as the technology partner of the International Consortium for Health Outcomes Measurement (ICHOM), OutcomeMD works to respect ICHOM’s recommended PROMs for diabetes when possible.
For endocrine conditions that encompass more than one patient area or domain (for example, obesity + physical function + general health), OutcomeMD has developed clusters of multiple PROs based on validated medical literature. With our PRO clusters, you will always have a comprehensive view of how your patient is progressing.
The value of OutcomeMD to Endocrinology:
- Improve your patients’ health and identify clinically relevant changes through routine outcome tracking
- The use of a well-validated patient reported outcome measure (PROM) by patients with thyroid disease can quickly identify responses to treatment and guide decision-making1
- Easily monitor symptom burden, disease control and emotional health to comprehensively assess patients and identify those with suboptimal disease control
- Over 50% of patients with Type 1 diabetes do not meet their glycemic control goals, and psychological and psychosocial barriers are a major contributing factor. Consequently, several diabetes guidelines recommend routine assessment of psychological wellness34.
Did your patient have a great outcome? With OutcomeMD, your patients with good outcomes can now publicly celebrate their improvement with ease by posting on their social media accounts (lead generation) and on your review sites (reputation management)!
1 Carlier IVE, Meuldijk D, Van Vliet IM, Van Fenema E, Van der Wee NJA, Zitman FG. Routine outcome monitoring and feedback on physical or mental health status: evidence and theory. J Eval Clin Pract 2012;18(1):104-10.
2 Brodey BB, Cuffel B, McCulloch J, et al. The acceptability and effectiveness of patient-reported assessments and feedback in a managed behavioral healthcare setting. Am J Manag Care 2005;11(12):774-80.
3 Hannan C, Lambert MJ, Harmon C, et al. A lab test and algorithms for identifying clients at risk for treatment failure. J Clin Psychol 2005;61(2):155-63.
