The survey was piloted with the first 30 patients with an email addresses (chronological order of clinic visits). Responses were reviewed after response rate reached 50%. As 4 questions were unanswered by some participants, a “none of the above” option was added. The invitations were sent out to the remaining 540 participants. A further 31 participants were excluded (4 email address errors, 13 gestational diabetes, 10 deceased, 4 did not have diabetes) resulting in a final total of 539 participants. This survey remained open for 3 weeks, with reminders sent to non-responders at one week and two weeks.

This study found that a tailored, theoretically based, SMS based, diabetes self management support programme led to modest improvements in glycaemic control. The effects of intervention were also seen in four of 21 secondary outcomes, including foot care behaviour and ratings of diabetes support. The programme showed a high level of acceptability with the overwhelming majority of participants finding the intervention useful and willing to recommend it to others.
The annual incidence of type 1 diabetes in children <15 yr in the Auckland population in 1990–2009 was 16.4/100,000 (95% CI 15.3–17.5). Considering the underlying 36% population growth over the 1990–2009 period, there was still a progressive increase in the incidence of new cases (p<0.0001; Figure 1A). By Poisson regression the type 1 diabetes incidence in children <15 yr in 2009 was 22.5 per 100,000 (95% CI 17.5–28.4), in comparison to 10.9 per 100,000 in 1990 (95% CI 7.0–16.1) (Figure 1A). Overall incidence among males and females across the 20-year period was similar (p = 0.49). The increase in incidence was greatest among children 10–14 yr (average increase of +0.81/year; p<0.0001) and lowest among children 0–4 yr (+0.32/year; p = 0.02); incidences by 2009 were 27.0 (95% CI 18.1–38.8) for children 10–14 yr, 25.4 (95% CI 16.5–37.3; +0.66/year; p = 0.0002) for children 5–9 yr, and 14.9 per 100,000 (95% CI 8.4–24.5) for those aged 0–4 yr (Figure 1B).
The good news is that there are things you can do to prevent these diabetes-related problems, no matter your age. Taking action now will help with your later years, so you can live a healthy life and see your grandchildren grow into beautiful and healthy men and women. And, it’s the perfect time to think about this because National Grandparents Day is on Sunday.
I act as a care giver for my grandparents who both suffer from type 2 diabetes. This article is right on point with having to make changes to one’s diet to help control blood glucose and overall health such as heart disease as well as staying active and exercising. The two naturally go hand in hand, but many diabetics like my grandparents have foot complications with swelling and neuropathy, requiring proper fitting footwear that is hard to find if you don’t know where to look. I found this guide on shoes for diabetics that helps explain what they are and their importance, especially for diabetics. Hopefully others find it as helpful as I did when caring for those diagnosed with diabetes.
Type 2 Diabetes is one of the major consequences of the obesity epidemic and according to Diabetes New Zealand is New Zealand’s fastest-growing health crisis. In terms of diabetes diagnosis, Type 2 currently accounts for around 90% of all cases. Also of concern to health professionals is that there are large numbers of people with silent, undiagnosed Type 2 Diabetes which may be damaging their bodies. An estimated 258,000 New Zealanders are estimated to have some form of diabetes, with than number doubling over the past decade.
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The HPs’ survey was completed by 115 out of 286 HPs (40.2% response rate, 78 online, 37 paper). Table 6 shows the characteristics of responders. Almost all HPs (96.5%, 111/115) owned a mobile phone and of the 113 who answered, 60.2% (68/113) had recommended an app for diabetes management to a patient. Dieticians were most likely to have recommended an app (83%, 10/12), followed by nurses (66%, 42/64), (P=.006). There was no relationship between app recommendation and the number of years of treating diabetes (P=.48) or the responder’s age (P=.49).


The Endocrinology Service at Starship Children's Health provides specialist care for all children diagnosed with type 1 diabetes in the Auckland region (New Zealand). Its Paediatric Diabetes Service provides centralised medical care for all diabetic children up to 15 yr who reside in the Auckland region, drawing from the regional population of approximately 1.5 million [12]. All children or adolescents diagnosed with type 1 diabetes who attended the Paediatric Service between 1 January 1990 and 31 December 2009 were eligible for this study. Subjects were captured from a comprehensive database (Starbase) that gathers data on all children with type 1 diabetes in the Auckland region. This information was cross-referenced with hospital admission data and subsequent clinical follow up, leading to a case ascertainment >95% for children with type 1 diabetes [13].
Pre-diabetes and type 2 diabetes are at epidemic proportions in New Zealand with the Auckland region over represented in certain populations. This programme works with those who have the highest rates of pre-diabetes and type 2 diabetes in Auckland creating that awareness and preventing diabetes where possible that is needed on a more intimate level within the community.
Participants who were referred to the study by clinicians or who self referred were contacted by a research assistant via phone to discuss the study and confirm eligibility. All eligible participants completed informed consent followed by baseline assessment over the phone with a research assistant before randomisation. All participants continued with their usual diabetes care including all medical visits, tests, and diabetes support programmes throughout the study. In addition, the intervention group received SMS4BG. Control participants received usual care only. All participants completed a follow-up phone interview nine months after randomisation (within three weeks of the nine month date). HbA1c blood tests (at baseline, three, six, and nine months) were undertaken through standard care and results obtained through medical records.
The A1C is a common blood test that measures the amount of glucose that is attached to the hemoglobin in our red blood cells. It has a variety of other names, including glycated hemoglobin, glycosylated hemoglobin, hemoglobin A1C and HbA1 and is used in the diagnosis and monitoring of diabetes. Unlike the traditional blood glucose test, the A1C does not require fasting, and blood can be drawn at any time of day. It is hoped that this will result in more people getting tested and decreasing the number of people with undiagnosed diabetes, which is currently estimated to be more than 7 million adults in the U.S. (more…)
A nine month, two arm, parallel, randomised controlled trial was conducted in adults with poorly controlled diabetes between June 2015 and August 2017. The study received ethical approval from the Health and Disability Ethics Committee (14/STH/162), and the protocol was published30 and registered with the Australian New Zealand Clinical Trials Registry (ACTRN12614001232628). Trial development and reporting was guided by the CONSORT31 and CONSORT EHEALTH32 statements.

This cross-sectional observational study used two surveys (see Multimedia Appendices 1 and 2), one for people with diabetes attending a secondary care diabetes outpatient clinic and the second for HPs (who treat people with diabetes) attending a national diabetes conference. Both surveys were multi-choice format, collected, and managed using REDCap electronic data capture tools. REDCap (Research Electronic Data Capture) is a secure, Web-based app designed to support data capture for research studies [24]. The survey questions were derived from criteria in the Mobile app rating scale [25] to address attitudes and practices of both the people with diabetes and HPs. The list of apps was compiled by searching Apple and Android App stores and included the first consecutive ten diabetes apps. We eliminated any apps not specific to diabetes by reviewing app store descriptions. We reviewed the main features from these apps to develop the list of app features. The patient survey asked responders to select any useful app features from a list. Responders could select more than one useful app feature. The HP survey listed app features and used a scale to assess usefulness of app features (from 1 [not at all useful] to 5 [extremely useful]) and their confidence in recommending apps (from 1 [not at all confident] to 5 [extremely confident]).
For example, adjusting to having diabetes; difficulty in making the life changes necessary to stay well; difficulty managing anger, conflict and other emotions related to your health; depression, sadness and grief; anxiety, worries, panic and phobias related to your health; eating difficulties; and difficulty with coping with the complications of diabetes.
Sexual problems are common in the general population but people with diabetes are at an increased risk. The biological effects of diabetes can affect both men and women although the correlation between diabetes and sexual function in women is poorly understood. It is important to ask both male and female patients if they are experiencing any issues regarding their sexual functioning.
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