Effectiveness of an interprofessional ambulatory care model on diabetes: evaluating clinical markers in a low-income patient population.
Nancy MadsenMenhel KinnoFrances VlassesElizabeth BurkhartPublished in: Journal of interprofessional care (2021)
The purpose of this study was to determine whether a new ambulatory care model, interprofessional collaborative care-coordinated team model (interprofessional model), based on the Wagner Care Model improved clinical indicators in a low-income population. This study was a retrospective 12-month pre-post (n = 204) and propensity matched (n = 171) comparative study of the interprofessional model in a primary clinic for patients with type 2 diabetes. Secondary data were collected from June 2014to February 2017 in an academic medical centre in a large Midwestern city. Findings demonstrated statistically and clinically significant improvement in A1C in both the pre/post arm of the study (↓ 0.8%) and the intervention/propensity matched arm (↓ 0.53%). Within the intervention group, there was a significant decrease in weight in the pre/post arm with 55% of cases losing weight, whereas 45% did not lose weight (p = .02). Diastolic blood pressure less than 90 also significantly improved in the pre/post arm of the study (10.1% n = 18, versus 3.9%, n = 7, p = .04). The interprofessional model showed that an ambulatory healthcare redesign incorporating an interprofessional team approach to optimise the health of this type 2 diabetes patient population can be effective. This study demonstrates the importance of using interprofessional collaborative practice teams to guide healthcare and improve patient outcomes.
Keyphrases
- healthcare
- blood pressure
- type diabetes
- quality improvement
- palliative care
- patient safety
- randomized controlled trial
- public health
- systematic review
- primary care
- physical activity
- cardiovascular disease
- mental health
- heart rate
- weight gain
- machine learning
- heart failure
- glycemic control
- chronic pain
- risk assessment
- blood glucose
- nursing students
- health information
- big data
- hypertensive patients