Adherence Over Time: The Course of Adherence to Customized Diabetic Insoles as Objectively Assessed by a Temperature Sensor

BACKGROUND

Temperature sensors are an objective way to assess adherence to diabetic footwear. Good adherence is essential for the prevention of diabetic foot problems. Little is known about the long-term course of adherence in patients at risk for diabetic foot problems.

METHOD

A temperature sensor was incorporated into the specialized footwear of patients with type 2 diabetes after their first plantar ulceration. Kaplan-Meier curve was used to analyze when patients started to become nonadherent (not wearing the footwear for two straight weeks). Gender effects on adherence were also analyzed.

RESULTS

26 patients with a mean observation time of 133.5 days could be analyzed. Mean wearing time of diabetic footwear was 4.2 ± 3.6 h/day (Mdn = 3.4 h/day; interquartile range = 0.5-7.0 h/day) and on 51% of the days patients did not wear their footwear at all. Kaplan-Meier curve revealed that the mean time of adherence was 27.5 weeks. Men achieved a mean time of adherence of 30.5 weeks, while women only achieved 14 weeks. However, due to the small sample size, this difference was not statistically significant.

CONCLUSIONS

Temperature sensors revealed a low long-term adherence to diabetic footwear. Women seemed to be at a higher risk for earlier nonadherent behavior. Adherence to diabetic footwear should be closely monitored and tailored intervention strategies should be developed.

Decreased health-related quality of life in patients with diabetic foot problems

PURPOSE

The aim of this study was to investigate health-related quality of life (HRQoL) in patients with diabetic foot problems and compare the HRQoL between diabetic patients with: 1) diabetic foot problems (DF), including diabetic foot ulcer (DFU) or amputation (AMPU); 2) other diabetic complications (COM), such as diabetic retinopathy (DR), end-stage renal disease (ESRD), or coronary artery disease (CAD); and 3) no diabetic complication (CON).

PATIENTS AND METHODS

A total of 254 diabetic patients were studied in a cross-sectional setting. HRQoL was evaluated using Thai version of the Euro Quality of Life Questionnaire (EuroQoL), with five dimensions and five-level scale (EQ-5D-5L). Utility scores were calculated using time trade-off methods.

RESULTS

A total of 141 patients in the DF group (98 DFU and 43 AMPU groups), 82 in the COM group (27 DR, 28 ESRD, and 27 CAD groups), and 31 in the CON group were interviewed. The mean age was 63.2±12.1 years, body mass index was 24.9±4.7 kg/m², mean hemoglobin A1c was 7.7±2.1%, duration of diabetes was 13.1±9.9 years, and the mean utility scores were 0.799±0.25. After having DF, 21% of patients had lost their jobs. The COM group had lower utility scores than the CON group. Among the diabetic complications, the DF group had the lowest mean utility scores as compared to the COM and CON groups (0.703±0.28 in the DF group, 0.903±0.15 in the COM group, and 0.961±0.06 in the CON group, P<0.01). There was no difference in the mean utility scores between DFU and AMPU groups. Patients in the DF group reported moderate-to-severe problem in all dimensions more than the other groups.

CONCLUSION

DF have the greatest negative impact on HRQoL. Therefore, diabetic foot care should be emphasized in clinical practice to prevent foot complications.

Risk factors of diabetic foot Charcot arthropathy: a case-control study at a Malaysian tertiary care centre

INTRODUCTION

This study aimed to determine the risk factors of diabetic Charcot arthropathy of the foot among diabetic patients with and without foot problems.

METHODS

This was a case-control study involving diabetic patients attending the Diabetic Foot Care and Wound Management Clinic at University Malaya Medical Centre, Kuala Lumpur, Malaysia, from June 2010 to June 2011. Data on sociodemographic profiles, foot factors and diabetes characteristics was collected and analysed.

RESULTS

A total of 48 diabetic patients with Charcot arthropathy of the foot were identified. Data from these 48 patients was compared with those of 52 diabetic patients without foot problems. Up to 83.3% of patients with diabetic Charcot arthropathy presented with unilateral Charcot foot, most commonly located at the midfoot (45.8%). Patients with a history of foot problems, including foot ulcer, amputation, surgery or a combination of problems, had the highest (26-time) likelihood of developing Charcot arthropathy (odds ratio 26.4; 95% confidence interval 6.4-109.6). Other significant risk factors included age below 60 years, more than ten years' duration of diabetes mellitus and the presence of nephropathy.

CONCLUSION

A history of prior diabetic foot problems is the greatest risk factor for developing diabetic Charcot arthropathy, compared with other risk factors such as diabetes characteristics and sociodemographic profiles. Preventive management of diabetic foot problems in the primary care setting and multidisciplinary care are of paramount importance, especially among chronic diabetic patients.

Useful screening tools for preventing foot problems of diabetics in rural areas: a cross-sectional study

BACKGROUND

Preventing diabetic foot problems (DFP) and their associated consequences is a critical in rural regions. The objective is to present an association of non-invasive DFP assessment tools and physiological indicators for early detection among rural cases of diabetes in Taiwan.

METHODS

Secondary data analysis of 387 participants previously diagnosed with type 2 diabetes was used. The Michigan Neuropathy Screening Instrument (MNSI), Ankle Brachial Index (ABI), optimal scaling combination (OSC) of MNSI, and age were used to examine peripheral neurovascular function. The King's College classification (KC) and Texas risk classification (TRC) were used to understand diabetic foot complications.

RESULTS

The findings indicated that MNSI was negatively correlated with ABI, but positively with diabetes duration, age, KC, TRC, fasting blood glucose, low density of lipoprotein cholesterol, body mass index and waist circumference. The area under the receiver operating characteristic curves for assessing the risk of ABI based on OSC was larger than for MNSI, KC, and TRC.

CONCLUSION

It is shown that using OSC, MNSI, and ABI as community screening tools is useful in detecting early neurovasculopathy. In addition, where an ABI machine is unavailable, primary healthcare providers that perform MNSI or OSC may be cost-effective. The study was approved by the institutional review board of the ethical committee (No 98-2224-B).