Diabetic foot in primary and tertiary (DEFINITE) Care: A health services innovation in coordination of diabetic foot ulcer (DFU) Care within a healthcare cluster - 18-month results from an observational population health cohort study.

Diabetic Foot in Primary and Tertiary (DEFINITE) Care is an inter-institutional and multi-disciplinary team (MDT) health systems innovation programme at a healthcare cluster in Singapore. We aim to achieve coordinated MDT care across primary and tertiary care for patients with diabetic foot ulcers (DFU), within our public healthcare cluster - an integrated network of seven primary care polyclinics and two acute care tertiary hospitals (1700-bed and 800-bed) with a total catchment population of 2.2 million residents. Results from prospective DEFINITE Care is referenced against a retrospective 2013-2017 cohort, which was previously published. Cardiovascular profile of the study population is compared against the same population's profile in the preceding 12 months. Between June 2020 and December 2021, there were 3475 unique patients with DFU with mean age at 65.9 years, 61.2% male, mean baseline HbA1c at 8.3% with mean diabetes duration at 13.3 years, mean diabetes complication severity index (DCSI) at 5.6 and mean Charlson Comorbidity Index (CCI) at 6.8. In the 12-months preceding enrolment to DEFINITE Care, 35.5% had surgical foot debridement, 21.2% had minor lower extremity amputation (LEA), 7.5% had major LEA whilst 16.8% had revascularisation procedures. At 18-months after the implementation of DEFINITE Care programme, the absolute minor and major amputation rates were 8.7% (n = 302) and 5.1% (n = 176), respectively, equating to a minor and major LEA per 100000 population at 13.7 and 8.0, respectively. This represents an 80% reduction in minor amputation rates (P < .001) and a 35% reduction in major amputation rates (P = .005) when referenced against a retrospective 2013-2017 cohort, which had minor and major LEA per 100000 population at 68.9 and 12.4, respectively. As compared to the preceding 12 months, there was also a significant improvement in cardiovascular profile (glycemic and lipid control) within the DEFINITE population, with improved mean HbAc1 (7.9% from 8.4%, P < .001), low-density lipoprotein (LDL) levels (2.1 mmol/L from 2.2, P < .001), total cholesterol (3.9 mmol/L from 4.1, P < .001) and triglycerides levels (1.6 mmol/L from 1.8, P = .002). Multivariate analysis revealed a history of minor amputation in the preceding 12 months to be an independent predictor for major and minor amputation within the study period of 18 months (Hazard Ratio 3.4 and 1.8, respectively, P < .001). In conclusion, within DEFINITE care, 18-month data showed a significant reduction of minor and major LEA rates, with improved medical optimisation and cardiovascular profile within the study population.

National Rates of Lower Extremity Amputation in People With and Without Diabetes in a Multi-Ethnic Asian Population: a Ten Year Study in Singapore.

OBJECTIVE: Population level data from Asia on amputation rates in people with and without diabetes are extremely limited. Hence it is unclear how the rising diabetes prevalence in Asia has affected the amputation burden. The present study examined national amputation rates in people with and without diabetes in Singapore from 2008 to 2017 in the context of increasing diabetes prevalence and health system changes. METHODS: This was a retrospective observational study using national population data for ages 16 - 100 years obtained from the Ministry of Health Singapore administrative datasets. Age sex standardised major and toe/ray amputation rates per 100 000 people with diabetes and per 100 000 people without diabetes were calculated. Rates were calculated overall and in each ethnic group (Chinese, Malay, Indian, Others), with trends over time calculated using joinpoint trend analysis. In addition, age specific rates, relative risk (RR) of amputation in diabetics compared with non-diabetics and proportion of amputations in the population attributable to diabetes were also calculated. RESULTS: Between 2008 and 2017, the database included 3.6 million unique individuals, of whom 75% were Chinese, 8.6% Malay, 7.9% Indian, and 8.4% Others. Of those, 413 486 (11%) had diabetes. Major amputation rates in people with diabetes remained stable (2008: 99.5/100 000; 2017: 95.0/100 000 people with diabetes, p = .91) as did toe/ray amputation rates. Rates in people without diabetes were substantially lower, with major amputation rates decreasing significantly (2008: 3.0/100 000; 2017: 2.1/100 000 people without diabetes, 3% annual reduction, p = .048). Diabetes related amputation rates were highest in Malays and lowest in Chinese. Diabetes related major amputation rates declined significantly among Chinese (3.1% annual reduction, p < .038). While the RR for amputations in diabetes remained stable, the proportion of major amputations attributable to diabetes increased from 63.6% in 2008 to 81.7% in 2017 (3% annual increase, p = .003). CONCLUSION: Diabetes related major and toe/ray amputation rates have remained stable but relatively high in Singapore compared with other countries, and the proportion of amputations attributable to diabetes has increased over time. More research is needed to understand the aetiopathological, sociocultural, and health system factors that may underlie the continued high rates of diabetes related amputations in this population.

Diabetes-related lower extremity complications in a multi-ethnic Asian population: a 10 year observational study in Singapore.

AIMS/HYPOTHESIS: Diabetes progression and complication risk are different in Asian people compared with those of European ancestry. In this study, we sought to understand the epidemiology of diabetes-related lower extremity complications (DRLECs: symptomatic peripheral arterial disease, ulceration, infection, gangrene) and amputations in a multi-ethnic Asian population. METHODS: This was a retrospective observational study using data obtained from one of three integrated public healthcare clusters in Singapore. The population consisted of individuals with incident type 2 diabetes who were of Chinese, Malay, Indian or Other ethnicity. We examined incidence, time to event and risk factors of DRLECs and amputation. RESULTS: Between 2007 and 2017, of the 156,593 individuals with incident type 2 diabetes, 20,744 developed a DRLEC, of whom 1208 underwent amputation. Age- and sex-standardised incidence of first DRLEC and first amputation was 28.29/1000 person-years of diabetes and 8.18/1000 person-years of DRLEC, respectively. Incidence of both was highest in individuals of Malay ethnicity (DRLEC, 36.09/1000 person-years of diabetes; amputation, 12.96/1000 person-years of DRLEC). Median time from diabetes diagnosis in the public healthcare system to first DRLEC was 30.5 months for those without subsequent amputation and 10.9 months for those with subsequent amputation. Median time from DRLEC to first amputation was 2.3 months. Older age (p < 0.001), male sex (p < 0.001), Malay ethnicity (p < 0.001), Indian ethnicity (p = 0.014), chronic comorbidities (nephropathy [p < 0.001], heart disease [p < 0.001], stroke [p < 0.001], retinopathy [p < 0.001], neuropathy [p < 0.001]), poorer or missing HbA1c (p < 0.001), lower (p < 0.001) or missing (p = 0.002) eGFR, greater or missing BMI (p < 0.001), missing LDL-cholesterol (p < 0.001) at diagnosis, and ever-smoking (p < 0.001) were associated with higher hazard of DRLEC. Retinopathy (p < 0.001), peripheral vascular disease (p < 0.001), poorer HbA1c (p < 0.001), higher (p = 0.009) or missing (p < 0.001) LDL-cholesterol and missing BMI (p = 0.008) were associated with higher hazard of amputation in those with DRLEC. Indian ethnicity (p = 0.007) was associated with significantly lower hazard of amputation. CONCLUSIONS/INTERPRETATION: This study has revealed important ethnic differences in risk of diabetes-related lower limb complications, with Malays most likely to progress to DRLEC. Greater research efforts are needed to understand the aetiopathological and sociocultural processes that contribute to the higher risk of lower extremity complications among these ethnic groups.

The Patient Activation through Community Empowerment/Engagement for Diabetes Management (PACE-D) protocol: a non-randomised controlled trial of personalised care and support planning for persons living with diabetes.

BACKGROUND: Personalised care and support planning (CSP) has been shown to improve diabetes outcomes, patient experience and provider morale in the care of persons living with diabetes. However, this has not been confirmed in controlled studies. Patient Activation through Community Empowerment/Engagement for Diabetes Management (PACE-D) is a pragmatic controlled trial that evaluates the effectiveness of personalised CSP in persons living with diabetes in the public primary care setting in Singapore. METHODS: Teamlet-empanelled patients with diabetes at four polyclinics are recruited for this study. Participants who attend either of the two Intervention clinics are sent their investigation results in a care planning letter (CPL) to prepare them for the CSP conversation. This conversation is facilitated by a trained CSP practitioner who engages them in discussion of concerns, goals and action plans, and documents their plans for subsequent review. Participants in the two Control clinics will receive standard diabetes care. Participants will complete two or more CSP conversations (Intervention) or regular consultations (Control) at the annual review visits within the 18 months of the study. The sample size is calculated at 1620 participants, with glycated haemoglobin (HbA1c) as the primary outcome measure. Secondary outcome measures include patient activation (as measured by PAM-13) and changes in healthcare utilisation and cost. DISCUSSION: This study is a pragmatic trial that evaluates the effectiveness of personalised CSP in persons living with diabetes in a real world setting. It promises to provide insights with regard to the implementation of this model of care in Singapore and the region. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT04288362. Retrospectively registered on 28 February 2020.

Short-term strength and balance training does not improve quality of life but improves functional status in individuals with diabetic peripheral neuropathy: a randomised controlled trial.

AIMS/HYPOTHESIS: The aim of this study was to test the effectiveness of a structured strength and balance training intervention in improving health-related quality of life (HRQoL) and functional status in individuals with diabetic peripheral neuropathy (DPN). METHODS: The study was a single-blind parallel-group randomised controlled trial comparing 2 months of once-weekly home-based strength and balance training against standard medical therapy. Participants were patients with physician-diagnosed type 2 diabetes and neuropathy recruited from five public sector institutions in Singapore between July 2014 and October 2017. Participants were block-randomised to intervention or control arms. Outcomes were assessed at baseline, 2 months and 6 months by a trained assessor blinded to group assignment. Primary outcomes were change in physical component summary (PCS) score of SF-36v2 (a 36-item generic HRQoL instrument that has been validated for use in Singapore) and EQ-5D-5L index score (derived from a five-item generic HRQoL instrument [EQ-5D-5L]) over 6 months. Secondary outcomes were change in functional status (timed up-and-go [TUG], five times sit-to-stand [FTSTS], functional reach, static balance, ankle muscle strength and knee range of motion) and balance confidence over 6 months. Mean differences in scores between groups were compared using mixed models. RESULTS: Of the 143 participants randomised (intervention, n = 70; control, n = 73), 67 participants were included in each arm for the final intention-to-treat analysis. The two groups were similar, except in terms of sex. There were no significant differences between groups on the primary outcomes of PCS score (mean difference [MD] 1.56 [95% CI -1.75, 4.87]; p = 0.355) and EQ-5D-5L index score (MD 0.02 [95% CI -0.01, 0.06]; p = 0.175). There were significant improvements in TUG test performance (MD -1.14 [95% CI -2.18, -0.1] s; p = 0.032), FTSTS test performance (MD -1.31 [95% CI -2.12, -0.51] s; p = 0.001), ankle muscle strength (MD 4.18 [95% CI 0.4, 7.92] N; p = 0.031), knee range of motion (MD 6.82 [95% CI 2.87, 10.78]°; p = 0.001) and balance confidence score (MD 6.17 [95% CI 1.89, 10.44]; p = 0.005). No adverse events due to study participation or study intervention were reported. CONCLUSIONS/INTERPRETATION: Short-term structured strength and balance training did not influence HRQoL but produced sustained improvements in functional status and balance confidence at 6 months. More intensive interventions may be needed to influence HRQoL in these individuals. However, this intervention may be a useful treatment option for individuals with DPN to reduce the risk of falls and injuries. TRIAL REGISTRATION: ClinicalTrials.gov NCT02115932 FUNDING: This work was supported by the National Medical Research Council, Singapore.

Association of diabetes treatment with long-term glycemic patterns in patients with type 2 diabetes mellitus: A prospective cohort study.

AIM: This study aimed to analyze diabetes treatment and treatment changes in association with long-term glycemic patterns in an Asian population with diabetes. MATERIALS AND METHODS: This was a prospective cohort study of 6218 patients with type 2 diabetes managed in public primary care clinics in Singapore. Clinical data from 2011 to 2016 were extracted from electronic medical records, including serial HbA1c measurements and dispensed antidiabetic medication records. Patterns of longitudinal HbA1c trajectories were identified using latent class growth analysis, and patients' annual treatment plans were compared between subgroups with different HbA1c patterns. RESULTS: We identified four distinct HbA1c patterns. Eighty-one percent of patients were classified in the low-stable group, where monotherapy and dual therapy with oral agents were the most common treatments. We also identified three groups with poorer control, with moderate-stable (14%), moderate-increase (3%), and high-decrease (2%) HbA1c patterns. Insulin treatment was most prevalent in these groups, with 61% to 72% of subjects receiving insulin treatment in 2016. More than 60% of subjects in poorer control groups had experienced treatment intensification during follow-up. Addition of multiple insulin injections was the most common intensification in moderate-increase and high-decrease groups. CONCLUSIONS: Treatment reflected and was appropriate to the extent of dysglycemia in this population. A small group of patients had deteriorating glycemic control, in spite of being treated with multiple insulin injections, suggesting non-response or non-adherence to treatment. Further investigation is needed to identify reasons for the deteriorating control observed and design effective interventions for these patients.

Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes.

BACKGROUND: Although criticisms regarding the dichotomisation of continuous variables are well known, applying logit model to dichotomised outcomes is the convention because the odds ratios are easily obtained and they approximate the relative risks (RRs) for rare events. METHODS: To avoid dichotomisation when estimating RR, the marginal standardisation method that transforms estimates from logit or probit model to RR estimate is extended to include estimates from linear model in the transformation. We conducted a simulation study to compare the statistical properties of the estimates from: (i) marginal standardisation method between models for continuous (i.e., linear model) and dichotomised outcomes (i.e., logit or probit model), and (ii) marginal standardisation method and distributional approach (i.e., marginal mean method) applied to linear model. We also compared the diagnostic test for probit, logit and linear models. For the real dataset analysis, we applied these analytical approaches to assess the management of inpatient hyperglycaemia in a pilot intervention study. RESULTS: Although the RR estimates from the marginal standardisation method were generally unbiased for all models in the simulation study, the marginal standardisation method for linear model provided estimates with higher precision and power than logit or probit model, especially when the baseline risks were at the extremes. When comparing approaches that avoid dichotomisation, RR estimates from these approaches had comparable performance. Assessing the assumption of error distribution was less powerful for logit or probit model via link test when compared with diagnostic test for linear model. After accounting for multiple thresholds representing varying levels of severity in hyperglycaemia, marginal standardisation method for linear model provided stronger evidence of reduced hyperglycaemia risk after intervention in the real dataset analysis although the RR estimates were similar across various approaches. CONCLUSIONS: When compared with approaches that do not avoid dichotomisation, the RR estimated from linear model is more precise and powerful, and the diagnostic test from linear model is more powerful in detecting mis-specified error distributional assumption than the diagnostic test from logit or probit model. Our work describes and assesses the methods available to analyse data involving studies of continuous outcomes with binary representations.

Longitudinal trends in HbA1c patterns and association with outcomes: A systematic review.

BACKGROUND: This study aimed to review studies that identified patterns of longitudinal HbA1c trends in patients with diabetes and to summarize factors and outcomes associated with distinct trajectory patterns. METHODS: PubMed and Web of Science were systematically searched for studies examining HbA1c trends among patients with diabetes from database inception through September 2017. Articles were included if they met the following inclusion criteria: (a) longitudinal study of subjects with diabetes only, (b) use of serial measurements of HbA1c , and (c) analysis of the trend of HbA1c using group-based trajectory approaches. RESULTS: Twenty studies were included, 11 on type 1 diabetes and 9 on type 2 diabetes. These studies identified 2 to 6 HbA1c trajectory patterns. The most commonly identified patterns included stable HbA1c around 7.0% and at levels between 8.0% and 9.9%, which usually captured the HbA1c pattern among the majority of subjects in the study population. Unstable patterns identified included increasing HbA1c trend, decreasing HbA1c trend, and non-linear patterns. These patterns were associated with differential risk of disease outcomes, over and beyond single-point HbA1c measures. Age, gender, ethnicity, diabetes duration, disease management frequency, cardiovascular risk factors, insulin treatment, family environment, and psychosocial factors were the most frequently reported factors associated with membership of specific HbA1c pattern groups. CONCLUSION: Common patterns of longitudinal HbA1c trends were identified despite heterogeneity among the studies. A better understanding of what underlies these different patterns may provide opportunities to tailor therapies and care for these patients to reduce adverse outcomes.

Role of Fat and Bone Biomarkers in the Relationship Between Ethnicity and Bone Mineral Density in Older Men.

Osteoporosis is an important health issue for older adults, and has been relatively understudied in older men. This study aimed to examine ethnic differences in bone mineral density (BMD), and elucidate the role of bone turnover markers (BTMs), fat and fat biomarkers on these ethnic differences. BMD at the lumbar spine and femoral neck, marrow fat at femoral neck, visceral adipose tissue (VAT) and subcutaneous adipose tissue, bone and fat biomarkers were evaluated in 120 healthy men aged ≥ 60 years. Indians had higher BMD values compared to Chinese at the lumbar spine (ß = 20.336, SE = 4.749, p < 0.001) and the femoral neck (e ß  = 1.105, SE = 0.032, p < 0.001), after adjusting for BTMs, fat composition and lifestyle choices. Marrow fat, VAT and adiponectin were independent predictors of BMD. However, these factors did not explain the lower BMD observed in older Chinese men. Our findings suggest that older Chinese men are at significant risk of osteoporotic fractures due to lower BMD. Fat appears to be a key factor associated with lower BMD, and warrants further longitudinal studies to elucidate the complex interactions between adipose tissue and bone strength.

Tele-Assessment of the Berg Balance Scale: Effects of Transmission Characteristics.

OBJECTIVE: To compare Berg Balance Scale (BBS) rating using videos with differing transmission characteristics with direct in-person rating. DESIGN: Repeated-measures study for the assessment of the BBS in 8 configurations: in person, high-definition video with slow motion review, standard-definition videos with varying bandwidths and frame rates (768 kilobytes per second [kbps] videos at 8, 15, and 30 frames per second [fps], 30 fps videos at 128, 384, and 768 kbps). SETTING: Medical center. PARTICIPANTS: Patients with limitations (N=45) in ≥1 of 3 specific aspects of motor function: fine motor coordination, gross motor coordination, and gait and balance. INTERVENTIONS: Not applicable. MAIN OUTCOMES MEASURES: Ability to rate the BBS in person and using videos with differing bandwidths and frame rates in frontal and lateral views. RESULTS: Compared with in-person rating (7%), 18% (P=.29) of high-definition videos and 37% (P=.03) of standard-definition videos could not be rated. Interrater reliability for the high-definition videos was .96 (95% confidence interval, .94-.97). Rating failure proportions increased from 20% in videos with the highest bandwidth to 60% (P<.001) in videos with the lowest bandwidth, with no significant differences in proportions across frame rate categories. Both frontal and lateral views were critical for successful rating using videos, with 60% to 70% (P<.001) of videos unable to be rated on a single view. CONCLUSIONS: Although there is some loss of information when using videos to rate the BBS compared to in-person ratings, it is feasible to reliably rate the BBS remotely in standard clinical spaces. However, optimal video rating requires frontal and lateral views for each assessment, high-definition video with high bandwidth, and the ability to carry out slow motion review.

Rehabilitation Outcomes After Inpatient Rehabilitation for Lower Extremity Amputations in Patients With Diabetes.

OBJECTIVE: To identify factors associated with functional gain, discharge destination, and long-term survival after inpatient rehabilitation in patients with lower extremity amputation and diabetes. DESIGN: Retrospective medical records review. SETTING: All community hospitals. PARTICIPANTS: Patients with diabetes (N=256) admitted for inpatient rehabilitation after lower extremity amputation. INTERVENTIONS: Not applicable. MAIN OUTCOMES MEASURES: Absolute functional gain (AFG) using the Shah-modified Barthel Index, discharge destination, and long-term survival for each patient. RESULTS: Length of stay (B=.15; 95% confidence interval [CI], .08-.21; P<.001) and admission functional status (B=-.09; 95% CI, -.18 to -.01; P=.032) were significantly associated with AFG. Availability of caregiver (foreign domestic worker: odds ratio [OR], 16.39; 95% CI, 4.65-57.78; P<.001; child: OR, 3.82; 95% CI, 1.31-11.12; P=.014; spouse: OR, 2.82; 95% CI, 1.07-7.46; P=.037 vs none), Charlson Comorbidity Index of 1 (OR, 4.32; 95% CI, 1.34-13.93; P=.014 vs ≥4), and younger age (OR, .96; 95% CI, .93-.99; P=.02) were significantly associated with being discharged home. Admission functional status (hazard ratio [HR], .98; 95% CI, .97-.99; P<.001), AFG (HR, .99; 95% CI, 0.97-1.00; P=.058), Charlson Comorbidity Index (1 vs ≥4: HR, .42; 95% CI, .24-.77; P=.004), ischemic heart disease (HR, 2.25; 95% CI, 1.27-4.00; P=.006), discharge destination (other vs home: HR, 1.82; 95% CI, 1.02-3.23; P=.041), age (HR, 1.02; 95% CI, 1.00-1.03; P=.082), and ethnicity (Malay vs Chinese: HR, .37; 95% CI, .16-.87; P=.022) predicted survival postamputation. CONCLUSIONS: Admission functional status predicted both functional gain during rehabilitation and survival in these patients. We also found ethnic differences in outcomes, with Malays having better survival after amputation. Lastly, there appears to be greater reliance on foreign domestic workers as caregivers, with patients with foreign domestic workers as their primary caregiver having the highest odds of being discharged home.

Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore.

OBJECTIVES: Previous studies reveal that the Three-Factor Eating Questionnaire (TFEQ), which assesses eating behaviour, performs differently across population groups and cultures. We aimed to identify the factor structure that is most appropriate to capture eating behaviour in an overweight and obese Chinese population in Singapore. METHODS: TFEQ-51 was administered to 444 Chinese subjects pooled from four separate studies and scored according to various alternative versions of the TFEQ. Confirmatory factor analyses and goodness of fit indices were used to determine the most appropriate factor structure. Known-group validity analyses were conducted. RESULTS: Niemeier's Disinhibition Factors and the TFEQ-R18 factor structures were found to be the most applicable in our population based on goodness of fit indices, with a x(2)/df ratio of <3, RMSEA of ≤ 0.6 and a CFI value of >0.9 for both. Only two of three factors (Emotional Eating and Uncontrolled Eating) of the TFEQ-R18 showed good internal consistency, while none of Niemeier's Disinhibition Factors showed good internal consistency. Known-group validity showed that Emotional Eating and Internal Disinhibition were significantly associated with higher BMI. CONCLUSION: We found that the TFEQ-R18 factor structure is the most appropriate and practical for use in measuring eating behaviour in an overweight and obese Chinese population in Singapore.

Automated segmentation of visceral and subcutaneous (deep and superficial) adipose tissues in normal and overweight men.

PURPOSE: To develop an automatic segmentation algorithm to classify abdominal adipose tissues into visceral fat (VAT), deep (DSAT), and superficial (SSAT) subcutaneous fat compartments and evaluate its performance against manual segmentation. MATERIALS AND METHODS: Data were acquired from 44 normal (BMI 18.0-22.9 kg/m(2) ) and 38 overweight (BMI 23.0-29.9 kg/m(2) ) subjects at 3T using a two-point Dixon sequence. A fully automatic segmentation algorithm was developed to segment the fat depots. The first part of the segmentation used graph cuts to separate the subcutaneous and visceral adipose tissues and the second step employed a modified level sets approach to classify deep and superficial subcutaneous tissues. The algorithmic results of segmentation were validated against the ground truth generated by manual segmentation. RESULTS: The proposed algorithm showed good performance with Dice similarity indices of VAT/DSAT/SSAT: 0.92/0.82/0.88 against the ground truth. The study of the fat distribution showed that there is a steady increase in the proportion of DSAT and a decrease in the proportion of SSAT with increasing obesity. CONCLUSION: The presented technique provides an accurate approach for the segmentation and quantification of abdominal fat depots.

PRACTICAL BARRIERS TO IMPLEMENTATION OF THYROID CANCER GUIDELINES IN THE ASIA-PACIFIC REGION.

OBJECTIVE: Numerous published guidelines have described the optimal management of thyroid cancer. However, these rely on the clinical availability of diagnostic and therapeutic modalities. We hypothesized that the availability of medical resources and economic circumstances vary in Asia-Pacific countries, making it difficult to implement guideline recommendations into clinical practice. METHODS: We surveyed participants at the 2009 and 2013 Congresses of the Association of Southeast Asian Nations Federation of Endocrine Societies by distributing questionnaires to attendees at registration. RESULTS: Responses were obtained from 268 respondents in 2009 and 163 respondents in 2013. Similar to the high prevalence of low-risk thyroid cancer observed in the Surveillance, Epidemiology, and End Results database, across the Asia-Pacific countries surveyed in 2009 and 2013, 50 to 100% of the respondents from the Philippines, Malaysia, Singapore, China, Taiwan, Thailand, Hong Kong, Korea, and Sri Lanka reported that more than 50% of the patients had low-risk thyroid cancer on follow-up. Importantly, there was much variation with regards to the perceived availability of investigation and treatment modalities. CONCLUSION: We found a wide variation in clinicians' perception of availability of diagnostic and therapeutic modalities in the face of a rise in thyroid cancer incidence and thyroid cancer management guidelines that emphasized their importance. The lack of availability of management tools and treatments will prove to be a major barrier to the implementation of thyroid cancer management guidelines in Southeast Asia, and likely in other parts of the world as well.

Personalised care and support planning in Singapore: qualitative interviews with people living with diabetes.

BACKGROUND: Personalised care and support planning (CSP) is a person-centred approach for the care of people living with long-term conditions. Patient Activation through Community Empowerment/Engagement for Diabetes Management (PACE-D) adapts the Year of Care Partnerships (YOCP) approach to CSP in the UK for people living with diabetes at Singapore polyclinics. Polyclinics are multi-storey primary care hubs that provide affordable, multidisciplinary, comprehensive, and high-throughput public health care for the multi-ethnic, multilingual Singapore population. AIM: To explore the experience of PACE-D-enrolled people living with diabetes with personalised CSP at Singapore polyclinics. DESIGN & SETTING: Qualitative interviews of people living with diabetes who experienced personalised CSP at National University Polyclinics (NUP) in Singapore between July 2020 and November 2021. METHOD: PACE-D-enrolled people living with diabetes who experienced personalised CSP were purposively sampled. In-depth semi-structured interviews were recorded, transcribed, and analysed using Braun and Clarke's reflexive thematic analysis. RESULTS: Fifty-two patients participated in the study. Four main themes were identified. Theme 1 was the importance of the care-planning letter. Patients reported that the CPL prompted reflection and patient preparation for CSP conversations. Theme 2 was the role of the programme coordinator. PACE-D programme coordinators amplified self-management by playing advocate and confidant beyond administrative duties. Theme 3 was the value of the personalised CSP conversation. CSP providers were perceived as partners in care, with more time to listen compared with usual consultations. Patient engagement was affected by language confidence. Theme 4 was agency in self-management. With adequate time and support, patients increased in confidence and agency both in CSP engagement and diabetes self-management. CONCLUSION: While language confidence may affect patient engagement, personalised CSP shows promise for strengthening patient engagement and self-management among people living with diabetes at Singapore polyclinics.

Empowering Foot Care Literacy Among People Living With Diabetes and Their Carers With an mHealth App: Protocol for a Feasibility Study.

BACKGROUND: Diabetic foot ulcers (DFUs) cause significant morbidity affecting 19% to 34% of people living with diabetes mellitus. DFUs not only impair quality of life but may also result in limb loss and mortality. Patient education has been advocated to raise awareness of proper foot self-care and the necessity of seeking assistance when a foot wound occurs. Modern technologies, including mobile health (mHealth) interventions such as health apps, bring the potential for more cost-effective and scalable interventions. OBJECTIVE: This study aims to examine the feasibility and usability of a newly developed mHealth app called Well Feet, which is a diabetes and foot care education app for individuals at risk of developing DFU. METHODS: Well Feet was developed using an evidence-based and expert panel cocreation approach to deliver educational content available in 3 languages (ie, English, Chinese, and Malay) via animation videos and a range of additional features, including adaptive learning. A nonrandomized, single-arm feasibility study using a mixed methods approach with a series of validated questionnaires and focus group discussions will be conducted. In total, 40 patients and carers will be recruited from a tertiary hospital diabetes clinic to receive a 1-month mHealth intervention. The primary outcomes are the usability of the app and a qualitative perspective on user experience. Secondary outcomes include changes in foot care knowledge, self-management behaviors, and quality of life. RESULTS: Patient recruitment began in July 2023, and the intervention and data collection will be completed by the end of September 2023. This study has been approved by National Healthcare Group Domain Specific Review Board (2022/00614) on February 10, 2023. The expected results will be published in spring 2024. CONCLUSIONS: Through this feasibility study, the Well Feet DFU education app will undergo a comprehensive quantitative and qualitative evaluation of its usability and acceptance for future improvement in its design. With local contextualization, cultural adaptation, and its multilingual functionality, the app addresses a critical aspect of DFU health education and self-management in a multiethnic population. Findings from this study will refine and enhance the features of the app based on user feedback and shape the procedural framework for a subsequent randomized controlled trial to assess the effectiveness of Well Feet. TRIAL REGISTRATION: ClinicalTrials.gov NCT05564728; https://clinicaltrials.gov/study/NCT05564728. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52036.

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI.

BACKGROUND: Existing literature has highlighted structural, physiological, and pathological disparities among abdominal adipose tissue (AAT) sub-depots. Accurate separation and quantification of these sub-depots are crucial for advancing our understanding of obesity and its comorbidities. However, the absence of clear boundaries between the sub-depots in medical imaging data has challenged their separation, particularly for internal adipose tissue (IAT) sub-depots. To date, the quantification of AAT sub-depots remains challenging, marked by a time-consuming, costly, and complex process. PURPOSE: To implement and evaluate a convolutional neural network to enable granular assessment of AAT by compartmentalization of subcutaneous adipose tissue (SAT) into superficial subcutaneous (SSAT) and deep subcutaneous (DSAT) adipose tissue, and IAT into intraperitoneal (IPAT), retroperitoneal (RPAT), and paraspinal (PSAT) adipose tissue. MATERIAL AND METHODS: MRI datasets were retrospectively collected from Singapore Preconception Study for Long-Term Maternal and Child Outcomes (S-PRESTO: 389 women aged 31.4 ± 3.9 years) and Singapore Adult Metabolism Study (SAMS: 50 men aged 28.7 ± 5.7 years). For all datasets, ground truth segmentation masks were created through manual segmentation. A Res-Net based 3D-UNet was trained and evaluated via 5-fold cross-validation on S-PRESTO data (N = 300). The model's final performance was assessed on a hold-out (N = 89) and an external test set (N = 50, SAMS). RESULTS: The proposed method enabled reliable segmentation of individual AAT sub-depots in 3D MRI volumes with high mean Dice similarity scores of 98.3%, 97.2%, 96.5%, 96.3%, and 95.9% for SSAT, DSAT, IPAT, RPAT, and PSAT respectively. CONCLUSION: Convolutional neural networks can accurately sub-divide abdominal SAT into SSAT and DSAT, and abdominal IAT into IPAT, RPAT, and PSAT with high accuracy. The presented method has the potential to significantly contribute to advancements in the field of obesity imaging and precision medicine.

Diabetes self-efficacy strongly influences actual control of diabetes in patients attending a tertiary hospital in India.

A cross-sectional survey of 507 in- and out-patients, with diagnosed Type 2 diabetes mellitus (T2DM) was undertaken to study the relationships between personal, disease and treatment-related factors and diabetes control in a tertiary care hospital. On multivariate logistic regression analysis, self-efficacy (odds ratio (OR) =2.94; 95% confidence interval (CI) =1.92-4.54); P<0.001) was the single most important determinant of current diabetes control (HbA1c ≤7%), along with absence of hyperglycemic symptoms in the past year (OR=1.83; 95% CI=1.15-2.93, P<0.01), current treatment with oral medication (OR=1.77; 95% CI=1.17-2.66; P<0.007), and adherence to dietary restrictions (OR=2.7; 95% CI=1.28-5.88; P<0.009). Self-efficacy was itself influenced by educational status, employment, availability of family support, and positive mental attitudes. Our findings suggest that health care delivery inputs, patients' personal characteristics including education and attitude, and family support for care are complexly processed to determine patients' ability to manage their disease, which ultimately influences disease outcomes.

Diabetes distress and peripheral neuropathy are associated with medication non-adherence in individuals with type 2 diabetes in primary care.

BACKGROUND: Psychosocial factors like diabetes distress and social support, as well as the presence of complications, affect an individual's self-management ability; however, their role in adherence behaviours is not yet clear. We examined the role of psychosocial factors and complications in non-adherence behaviours in individuals with diabetes in primary care. METHODS: Baseline survey with nine-month follow up through medical records of patients with type 2 diabetes attending primary care. Medication adherence and diabetes distress were assessed using Morisky Green Levine Medication Adherence Scale and Problem Areas in Diabetes, respectively. Appointment adherence was assessed through medical records. RESULTS: Of the 448 participants studied, 59.8% had medication non-adherence and 21.7% were non-adherent to scheduled appointments. PAID score (odds ratio (OR) 1.01, 95% confidence interval 1.00-1.03, p = 0.013), peripheral neuropathy (OR 1.99, 95%CI 1.18-3.37, p = 0.01), home glucose monitoring (OR 0.46, 95%CI 0.30-0.69, p < 0.001), HbA1c (OR 1.34, 95%CI 1.13-1.61, p = 0.001), and age (OR 0.96, 95%CI 0.93-0.98, p = 0.001) were associated with medication non-adherence. Indian ethnicity (OR 2.93, 95%CI 1.59-5.39, p = 0.001), secondary or higher education (OR 1.94, 95%CI 1.14-3.27, p = 0.014), and HbA1c (OR 1.38, 95%CI 1.18-1.63, p < 0.001) were associated with appointment non-adherence. CONCLUSIONS: Non-adherence behaviours were prevalent and significantly associated with higher HbA1c. Medication non-adherence was more likely in younger individuals, those with higher diabetes distress or peripheral neuropathy. Appointment non-adherence was more likely in individuals of Indian ethnicity or those with higher education. Greater support for these groups may help improve adherence behaviours and outcomes.