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Diabet Med ; 33(8): 1140-8, 2016 08.
Article in English | MEDLINE | ID: mdl-26642179

ABSTRACT

AIMS: To examine the characteristics of patients with diabetes who regularly receive help from a supporter in preparing for and attending medical visits, and the association between this help and clinical risk factors for diabetes complications. METHODS: We linked survey data about family involvement for patients in the Veterans Health Administration system with poorly controlled Type 2 diabetes (n = 588; mean 67 years; 97% male) with health record data on blood pressure, glycaemic control and prescription-fill gaps. We used multivariable regression to assess whether supporter presence and, among patients with supporters, supporter role (visit preparation, accompaniment to medical visit or no involvement) were associated with concurrent trends in clinical risk factors over 2 years, adjusting for sociodemographic and health characteristics. RESULTS: Most patients (78%) had a main health supporter; of these, more had regular support for preparing for appointments (69%) than were regularly accompanied to them (45%). Patients with preparation help only were younger and more educated than accompanied patients. Support presence and type was not significantly associated with clinical risk factors. CONCLUSIONS: Family help preparing for appointments was common among these patients with high-risk diabetes. In its current form, family support for medical visits may not affect clinical factors in the short term. Supporters helping patients engage in medical visits may need training and assistance to have an impact on the clinical trajectory of patients with diabetes.


Subject(s)
Appointments and Schedules , Caregivers , Diabetes Mellitus, Type 2/drug therapy , Hypoglycemic Agents/therapeutic use , Medication Adherence , Age Factors , Aged , Aged, 80 and over , Diabetes Complications/etiology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/metabolism , Female , Glycated Hemoglobin/metabolism , Humans , Linear Models , Male , Middle Aged , Multivariate Analysis , Patient Health Questionnaire , United States , United States Department of Veterans Affairs
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