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Clinical inertia in individualising care for diabetes: is there time to do more in type 2 diabetes?

ABSTRACT: Clinical inertia is defined as the failure to establish appropriate targets and escalate treatment to achieve treatment goals. It accounts for a significant proportion of failure to achieve targets in the management of diabetes and contributes to up to 200,000 adverse diabetes- related outcomes per year. Despite a growing awareness of the phenomenon, and newer, better-tolerated agents for the control of diabetes, there has been little improvement over the last decade in the prevalence of clinical inertia. Although common-place in clinical practice, clinical inertia does not appear to affect clinical trials. There are lessons that may be translated from these randomised controlled trials to clinical practice, which that may improve the care for those with diabetes. Key amongst these interventions are good education, clear treatment strategy and more time for interaction between physician and patients, all of which appears to reduce clinical inertia as evidenced by the "placebo effect" of clinical trials. We plan to review here, the lessons that can be learnt from clinical trials and how these may translate to better care for people with diabetes.

SUBMITTER: Strain WD

PROVIDER: S-EPMC4269638 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Clinical inertia in individualising care for diabetes: is there time to do more in type 2 diabetes?

Strain William David WD Blüher Matthias M Paldánius Païvi P

Diabetes therapy : research, treatment and education of diabetes and related disorders 20140812 2

Clinical inertia is defined as the failure to establish appropriate targets and escalate treatment to achieve treatment goals. It accounts for a significant proportion of failure to achieve targets in the management of diabetes and contributes to up to 200,000 adverse diabetes- related outcomes per year. Despite a growing awareness of the phenomenon, and newer, better-tolerated agents for the control of diabetes, there has been little improvement over the last decade in the prevalence of clinica ...[more]

PMID: 25113408

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Project description:BackgroundClinical inertia can lead to poor glycemic control among type 2 diabetes patients. However, there is paucity of information on clinical inertia in low- and middle-income countries including Malaysia. This study aimed to determine the time to treatment intensification among T2D patients with HbA1c of ≥7% (≥53 mmol/mol) in Malaysian public health clinics. The proportion of patients with treatment intensification and its associated factors were also determined.Material and methodsThis was a five-year retrospective open cohort study using secondary data from the National Diabetes Registry. The study setting was all public health clinics (n = 47) in the state of Negeri Sembilan, Malaysia. Time to treatment intensification was defined as the number of years from the index year until the addition of another oral antidiabetic drug or initiation of insulin. Life table survival analysis based on best-worst case scenarios was used to determine the time to treatment intensification. Discrete-time proportional hazards model was fitted for the factors associated with treatment intensification.ResultsThe mean follow-up duration was 2.6 (SD 1.1) years. Of 7,646 patients, the median time to treatment intensification was 1.29 years (15.5 months), 1.58 years (19.0 months) and 2.32 years (27.8 months) under the best-, average- and worst-case scenarios respectively. The proportion of patients with treatment intensification was 45.4% (95% CI: 44.2-46.5), of which 34.6% occurred only after one year. Younger adults, overweight, obesity, use of antiplatelet medications and poorer HbA1c were positively associated with treatment intensification. Patients treated with more oral antidiabetics were less likely to have treatment intensification.ConclusionClinical inertia is present in the management of T2D patients in Malaysian public health clinics. We recommend further studies in lower- and middle-income countries to explore its causes so that targeted strategies can be developed to address this issue.

Project description:Type 2 diabetes mellitus is a worldwide challenge. Practice guidelines promote structured self-monitoring of blood glucose (SMBG) for informing health care providers about glycemic control and providing patient feedback to increase knowledge, self-efficacy, and behavior change. Paired glucose testing—pairs of glucose results obtained before and after a meal or physical activity—is a method of structured SMBG. However, frequent access to glucose data to interpret values and recommend actions is challenging. A complete feedback loop—data collection and interpretation combined with feedback to modify treatment—has been associated with improved outcomes, yet there remains limited integration of SMBG feedback in diabetes management. Incorporating telehealth remote monitoring and asynchronous electronic health record (EHR) feedback from certified diabetes educators (CDEs)—specialists in glucose pattern management—employ the complete feedback loop to improve outcomes.The purpose of this study was to evaluate a telehealth remote monitoring intervention using paired glucose testing and asynchronous data analysis in adults with type 2 diabetes. The primary aim was change in glycated hemoglobin (A(1c))—a measure of overall glucose management—between groups after 6 months. The secondary aims were change in self-reported Summary of Diabetes Self-Care Activities (SDSCA), Diabetes Empowerment Scale, and Diabetes Knowledge Test.A 2-group randomized clinical trial was conducted comparing usual care to telehealth remote monitoring with paired glucose testing and asynchronous virtual visits. Participants were aged 30-70 years, not using insulin with A1c levels between 7.5% and 10.9% (58-96 mmol/mol). The telehealth remote monitoring tablet computer transmitted glucose data and facilitated a complete feedback loop to educate participants, analyze actionable glucose data, and provide feedback. Data from paired glucose testing were analyzed asynchronously using computer-assisted pattern analysis and were shared with patients via the EHR weekly. CDEs called participants monthly to discuss paired glucose testing trends and treatment changes. Separate mixed-effects models were used to analyze data.Participants (N=90) were primarily white (64%, 56/87), mean age 58 (SD 11) years, mean body mass index 34.1 (SD 6.7) kg/m2, with diabetes for mean 8.2 (SD 5.4) years, and a mean A(1c) of 8.3% (SD 1.1; 67 mmol/mol). Both groups lowered A(1c) with an estimated average decrease of 0.70 percentage points in usual care group and 1.11 percentage points in the treatment group with a significant difference of 0.41 percentage points at 6 months (SE 0.08, t159=-2.87, P=.005). Change in medication (SE 0.21, t157=-3.37, P=.009) was significantly associated with lower A(1c) level. The treatment group significantly improved on the SDSCA subscales carbohydrate spacing (P=.04), monitoring glucose (P=.001), and foot care (P=.02).An eHealth model incorporating a complete feedback loop with telehealth remote monitoring and paired glucose testing with asynchronous data analysis significantly improved A(1c) levels compared to usual care.Clinicaltrials.gov NCT01715649; https://www.clinicaltrials.gov/ct2/show/NCT01715649 (Archived by WebCite at http://www.webcitation.org/6ZinLl8D0).

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Clinical inertia in individualising care for diabetes: is there time to do more in type 2 diabetes?

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Clinical inertia in individualising care for diabetes: is there time to do more in type 2 diabetes?

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